Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 385 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 45.2 KiB |
| Average record size in memory | 120.3 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 4 |
RSI_14 is highly correlated with Z_30 | High correlation |
Z_30 is highly correlated with RSI_14 | High correlation |
Z_30 has unique values | Unique |
ratio_M50M180 has unique values | Unique |
ratio_M5M20 has unique values | Unique |
ratio_M20M50 has unique values | Unique |
ratio_MACDh_12_26_9 has unique values | Unique |
obv_pct_delta has unique values | Unique |
Reproduction
| Analysis started | 2021-04-07 22:10:20.650937 |
|---|---|
| Analysis finished | 2021-04-07 22:10:54.650936 |
| Duration | 34 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
close
Real number (ℝ≥0)
| Distinct | 295 |
|---|---|
| Distinct (%) | 76.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.96348051 |
|---|---|
| Minimum | 3.119999886 |
| Maximum | 13.96000004 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 3.119999886 |
|---|---|
| 5-th percentile | 3.950000048 |
| Q1 | 5.360000134 |
| median | 6.800000191 |
| Q3 | 11.56000042 |
| 95-th percentile | 13.18799973 |
| Maximum | 13.96000004 |
| Range | 10.84000015 |
| Interquartile range (IQR) | 6.200000286 |
Descriptive statistics
| Standard deviation | 3.26169152 |
|---|---|
| Coefficient of variation (CV) | 0.4095811519 |
| Kurtosis | -1.426142964 |
| Mean | 7.96348051 |
| Median Absolute Deviation (MAD) | 2.53000021 |
| Skewness | 0.3268692655 |
| Sum | 3065.939996 |
| Variance | 10.63863157 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5.860000134 | 4 | 1.0% |
| 5.489999771 | 4 | 1.0% |
| 5.510000229 | 4 | 1.0% |
| 5.949999809 | 4 | 1.0% |
| 4.130000114 | 4 | 1.0% |
| 12.22000027 | 3 | 0.8% |
| 11.30000019 | 3 | 0.8% |
| 4.289999962 | 3 | 0.8% |
| 12.19999981 | 3 | 0.8% |
| 4.230000019 | 3 | 0.8% |
| Other values (285) | 350 |
| Value | Count | Frequency (%) |
| 3.119999886 | 1 | |
| 3.24000001 | 1 | |
| 3.289999962 | 1 | |
| 3.349999905 | 1 | |
| 3.450000048 | 1 |
| Value | Count | Frequency (%) |
| 13.96000004 | 1 | |
| 13.78999996 | 1 | |
| 13.75 | 1 | |
| 13.68999958 | 1 | |
| 13.68000031 | 1 |
| Distinct | 383 |
|---|---|
| Distinct (%) | 99.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.65873692 |
|---|---|
| Minimum | 9.134719431 |
| Maximum | 79.47982393 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 9.134719431 |
|---|---|
| 5-th percentile | 23.90651744 |
| Q1 | 41.60272476 |
| median | 50.25738194 |
| Q3 | 59.38810147 |
| 95-th percentile | 70.63231609 |
| Maximum | 79.47982393 |
| Range | 70.3451045 |
| Interquartile range (IQR) | 17.78537672 |
Descriptive statistics
| Standard deviation | 13.96978126 |
|---|---|
| Coefficient of variation (CV) | 0.2813156782 |
| Kurtosis | -0.2879144906 |
| Mean | 49.65873692 |
| Median Absolute Deviation (MAD) | 9.114571683 |
| Skewness | -0.2639321034 |
| Sum | 19118.61372 |
| Variance | 195.1547883 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 66.29294739 | 2 | 0.5% |
| 44.70190711 | 2 | 0.5% |
| 43.15708212 | 1 | 0.3% |
| 49.99653191 | 1 | 0.3% |
| 27.85272935 | 1 | 0.3% |
| 48.27747398 | 1 | 0.3% |
| 42.06256826 | 1 | 0.3% |
| 55.8153136 | 1 | 0.3% |
| 64.56796255 | 1 | 0.3% |
| 66.39355686 | 1 | 0.3% |
| Other values (373) | 373 |
| Value | Count | Frequency (%) |
| 9.134719431 | 1 | |
| 14.96606627 | 1 | |
| 15.96364336 | 1 | |
| 16.79065705 | 1 | |
| 17.17515306 | 1 |
| Value | Count | Frequency (%) |
| 79.47982393 | 1 | |
| 78.97085176 | 1 | |
| 77.9500097 | 1 | |
| 77.37623583 | 1 | |
| 77.34754502 | 1 |
INC_2
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 385 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 199 | |
| 1 | 186 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 199 | |
| 1 | 186 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 199 | |
| 1 | 186 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 385 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 199 | |
| 1 | 186 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 385 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 199 | |
| 1 | 186 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 385 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 199 | |
| 1 | 186 |
ROC_2
Real number (ℝ)
| Distinct | 382 |
|---|---|
| Distinct (%) | 99.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2336577655 |
|---|---|
| Minimum | -53.46153813 |
| Maximum | 35.31300609 |
| Zeros | 3 |
| Zeros (%) | 0.8% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -53.46153813 |
|---|---|
| 5-th percentile | -7.942482031 |
| Q1 | -3.288359198 |
| median | -0.1731641336 |
| Q3 | 3.513769183 |
| 95-th percentile | 11.51417159 |
| Maximum | 35.31300609 |
| Range | 88.77454422 |
| Interquartile range (IQR) | 6.802128381 |
Descriptive statistics
| Standard deviation | 7.142508942 |
|---|---|
| Coefficient of variation (CV) | 30.5682498 |
| Kurtosis | 11.2793244 |
| Mean | 0.2336577655 |
| Median Absolute Deviation (MAD) | 3.384846909 |
| Skewness | -0.775104298 |
| Sum | 89.95823971 |
| Variance | 51.01543399 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 3 | 0.8% |
| -0.3616632942 | 2 | 0.5% |
| -1.899253086 | 1 | 0.3% |
| -4.530200993 | 1 | 0.3% |
| 4.238752191 | 1 | 0.3% |
| -3.095229607 | 1 | 0.3% |
| -2.753870034 | 1 | 0.3% |
| -2.384868137 | 1 | 0.3% |
| 5.301199642 | 1 | 0.3% |
| 4.250001907 | 1 | 0.3% |
| Other values (372) | 372 |
| Value | Count | Frequency (%) |
| -53.46153813 | 1 | |
| -35.57832878 | 1 | |
| -20.08830645 | 1 | |
| -18.27675779 | 1 | |
| -16.49484758 | 1 |
| Value | Count | Frequency (%) |
| 35.31300609 | 1 | |
| 23.02521691 | 1 | |
| 22.76029131 | 1 | |
| 22.64529391 | 1 | |
| 20.61855711 | 1 |
PSL_3
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| 66.66666666666667 | |
|---|---|
| 33.333333333333336 | |
| 100.0 | |
| 0.0 |
Length
| Max length | 18 |
|---|---|
| Median length | 17 |
| Mean length | 14.8025974 |
| Min length | 3 |
Characters and Unicode
| Total characters | 5699 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 66.66666666666667 |
|---|---|
| 2nd row | 33.333333333333336 |
| 3rd row | 33.333333333333336 |
| 4th row | 100.0 |
| 5th row | 33.333333333333336 |
| Value | Count | Frequency (%) |
| 66.66666666666667 | 158 | |
| 33.333333333333336 | 150 | |
| 100.0 | 41 | 10.6% |
| 0.0 | 36 | 9.4% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 66.66666666666667 | 158 | |
| 33.333333333333336 | 150 | |
| 100.0 | 41 | 10.6% |
| 0.0 | 36 | 9.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 6 | 2520 | |
| 3 | 2400 | |
| . | 385 | 6.8% |
| 0 | 195 | 3.4% |
| 7 | 158 | 2.8% |
| 1 | 41 | 0.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 5314 | |
| Other Punctuation | 385 | 6.8% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 6 | 2520 | |
| 3 | 2400 | |
| 0 | 195 | 3.7% |
| 7 | 158 | 3.0% |
| 1 | 41 | 0.8% |
| Value | Count | Frequency (%) |
| . | 385 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 5699 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 6 | 2520 | |
| 3 | 2400 | |
| . | 385 | 6.8% |
| 0 | 195 | 3.4% |
| 7 | 158 | 2.8% |
| 1 | 41 | 0.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5699 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 6 | 2520 | |
| 3 | 2400 | |
| . | 385 | 6.8% |
| 0 | 195 | 3.4% |
| 7 | 158 | 2.8% |
| 1 | 41 | 0.7% |
CDL_DOJI_3_0.1
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1155 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
| Value | Count | Frequency (%) |
| 0.0 | 341 | |
| 1.0 | 44 | 11.4% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0.0 | 341 | |
| 1.0 | 44 | 11.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 726 | |
| . | 385 | |
| 1 | 44 | 3.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 770 | |
| Other Punctuation | 385 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 726 | |
| 1 | 44 | 5.7% |
| Value | Count | Frequency (%) |
| . | 385 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1155 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 726 | |
| . | 385 | |
| 1 | 44 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1155 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 726 | |
| . | 385 | |
| 1 | 44 | 3.8% |
TRUERANGE_1
Real number (ℝ≥0)
| Distinct | 164 |
|---|---|
| Distinct (%) | 42.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4360779211 |
|---|---|
| Minimum | 0.1199998856 |
| Maximum | 3.50999999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | 0.1199998856 |
|---|---|
| 5-th percentile | 0.1720000267 |
| Q1 | 0.279999733 |
| median | 0.3699998856 |
| Q3 | 0.5199999809 |
| 95-th percentile | 0.9280002594 |
| Maximum | 3.50999999 |
| Range | 3.390000105 |
| Interquartile range (IQR) | 0.240000248 |
Descriptive statistics
| Standard deviation | 0.275968825 |
|---|---|
| Coefficient of variation (CV) | 0.6328429201 |
| Kurtosis | 41.07525982 |
| Mean | 0.4360779211 |
| Median Absolute Deviation (MAD) | 0.1100006104 |
| Skewness | 4.572911757 |
| Sum | 167.8899996 |
| Variance | 0.07615879237 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.25 | 15 | 3.9% |
| 0.3400001526 | 11 | 2.9% |
| 0.3299999237 | 11 | 2.9% |
| 0.2899999619 | 10 | 2.6% |
| 0.3699998856 | 10 | 2.6% |
| 0.5799999237 | 7 | 1.8% |
| 0.3800001144 | 7 | 1.8% |
| 0.3600001335 | 7 | 1.8% |
| 0.2100000381 | 6 | 1.6% |
| 0.2600002289 | 6 | 1.6% |
| Other values (154) | 295 |
| Value | Count | Frequency (%) |
| 0.1199998856 | 1 | |
| 0.1299996376 | 1 | |
| 0.1399998665 | 2 | |
| 0.1400003433 | 1 | |
| 0.1499996185 | 2 |
| Value | Count | Frequency (%) |
| 3.50999999 | 1 | |
| 1.650000572 | 1 | |
| 1.430000305 | 1 | |
| 1.349999905 | 1 | |
| 1.229999542 | 1 |
| Distinct | 385 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1315156295 |
|---|---|
| Minimum | -3.188764919 |
| Maximum | 4.153555278 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -3.188764919 |
|---|---|
| 5-th percentile | -2.07999551 |
| Q1 | -1.006289837 |
| median | 0.03776937447 |
| Q3 | 1.319476749 |
| 95-th percentile | 2.283475121 |
| Maximum | 4.153555278 |
| Range | 7.342320197 |
| Interquartile range (IQR) | 2.325766586 |
Descriptive statistics
| Standard deviation | 1.428093747 |
|---|---|
| Coefficient of variation (CV) | 10.85873787 |
| Kurtosis | -0.7728615472 |
| Mean | 0.1315156295 |
| Median Absolute Deviation (MAD) | 1.169672639 |
| Skewness | 0.09439040849 |
| Sum | 50.63351737 |
| Variance | 2.039451751 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.60184923 | 1 | 0.3% |
| -2.166592918 | 1 | 0.3% |
| 0.03776937447 | 1 | 0.3% |
| 1.725651059 | 1 | 0.3% |
| 1.41913864 | 1 | 0.3% |
| -1.753064142 | 1 | 0.3% |
| -2.408282236 | 1 | 0.3% |
| 1.319476749 | 1 | 0.3% |
| 2.638574999 | 1 | 0.3% |
| 1.927318567 | 1 | 0.3% |
| Other values (375) | 375 |
| Value | Count | Frequency (%) |
| -3.188764919 | 1 | |
| -2.839997137 | 1 | |
| -2.824285746 | 1 | |
| -2.783653494 | 1 | |
| -2.49911554 | 1 |
| Value | Count | Frequency (%) |
| 4.153555278 | 1 | |
| 3.982635979 | 1 | |
| 3.454870985 | 1 | |
| 3.152180041 | 1 | |
| 2.95272456 | 1 |
| Distinct | 385 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.02651537 |
|---|---|
| Minimum | -16.74797861 |
| Maximum | 22.39522982 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -16.74797861 |
|---|---|
| 5-th percentile | 0.7587098047 |
| Q1 | 0.958966075 |
| median | 0.9815677069 |
| Q3 | 1.043749085 |
| 95-th percentile | 1.328689705 |
| Maximum | 22.39522982 |
| Range | 39.14320843 |
| Interquartile range (IQR) | 0.08478301001 |
Descriptive statistics
| Standard deviation | 1.519730551 |
|---|---|
| Coefficient of variation (CV) | 1.480475203 |
| Kurtosis | 152.6709684 |
| Mean | 1.02651537 |
| Median Absolute Deviation (MAD) | 0.03670248411 |
| Skewness | 3.53115113 |
| Sum | 395.2084175 |
| Variance | 2.309580946 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.184564838 | 1 | 0.3% |
| 1.073676299 | 1 | 0.3% |
| 0.9643382417 | 1 | 0.3% |
| 1.020823719 | 1 | 0.3% |
| 0.9583967313 | 1 | 0.3% |
| 0.9739913745 | 1 | 0.3% |
| 0.9672139218 | 1 | 0.3% |
| 1.028243868 | 1 | 0.3% |
| 0.9567499627 | 1 | 0.3% |
| 1.237792845 | 1 | 0.3% |
| Other values (375) | 375 |
| Value | Count | Frequency (%) |
| -16.74797861 | 1 | |
| -2.161975073 | 1 | |
| -1.733334045 | 1 | |
| -0.1253399459 | 1 | |
| -0.09035962135 | 1 |
| Value | Count | Frequency (%) |
| 22.39522982 | 1 | |
| 9.622776752 | 1 | |
| 2.779771988 | 1 | |
| 2.613402935 | 1 | |
| 2.418905359 | 1 |
| Distinct | 385 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4380264844 |
|---|---|
| Minimum | -124.6648044 |
| Maximum | 52.38880441 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -124.6648044 |
|---|---|
| 5-th percentile | -1.419148957 |
| Q1 | 0.6043954144 |
| median | 0.9207721034 |
| Q3 | 1.280042848 |
| 95-th percentile | 2.673113375 |
| Maximum | 52.38880441 |
| Range | 177.0536088 |
| Interquartile range (IQR) | 0.6756474334 |
Descriptive statistics
| Standard deviation | 8.593241403 |
|---|---|
| Coefficient of variation (CV) | 19.61808637 |
| Kurtosis | 150.707663 |
| Mean | 0.4380264844 |
| Median Absolute Deviation (MAD) | 0.3431505316 |
| Skewness | -10.46623944 |
| Sum | 168.6401965 |
| Variance | 73.84379781 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.307072206 | 1 | 0.3% |
| 0.498080639 | 1 | 0.3% |
| 1.069123837 | 1 | 0.3% |
| 1.202429096 | 1 | 0.3% |
| 0.8469156273 | 1 | 0.3% |
| 1.049586618 | 1 | 0.3% |
| 0.3712575466 | 1 | 0.3% |
| 0.2302631161 | 1 | 0.3% |
| 1.178540653 | 1 | 0.3% |
| 1.534930697 | 1 | 0.3% |
| Other values (375) | 375 |
| Value | Count | Frequency (%) |
| -124.6648044 | 1 | |
| -89.12509239 | 1 | |
| -18.99996121 | 1 | |
| -10.50000397 | 1 | |
| -9.465120973 | 1 |
| Value | Count | Frequency (%) |
| 52.38880441 | 1 | |
| 18.72709145 | 1 | |
| 12.24998808 | 1 | |
| 11.1090768 | 1 | |
| 8.48718118 | 1 |
| Distinct | 385 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.047206269 |
|---|---|
| Minimum | -30.19174175 |
| Maximum | 56.79845366 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -30.19174175 |
|---|---|
| 5-th percentile | 0.3928716112 |
| Q1 | 0.8843672559 |
| median | 0.9872371495 |
| Q3 | 1.143810258 |
| 95-th percentile | 1.828984677 |
| Maximum | 56.79845366 |
| Range | 86.99019541 |
| Interquartile range (IQR) | 0.2594430024 |
Descriptive statistics
| Standard deviation | 3.510922148 |
|---|---|
| Coefficient of variation (CV) | 3.352655778 |
| Kurtosis | 185.5388341 |
| Mean | 1.047206269 |
| Median Absolute Deviation (MAD) | 0.1278361263 |
| Skewness | 8.05821692 |
| Sum | 403.1744136 |
| Variance | 12.32657433 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.166891816 | 1 | 0.3% |
| 0.9143529752 | 1 | 0.3% |
| 0.7550140457 | 1 | 0.3% |
| 1.005883473 | 1 | 0.3% |
| 1.017315781 | 1 | 0.3% |
| 0.3217247136 | 1 | 0.3% |
| 0.99723218 | 1 | 0.3% |
| 1.024816055 | 1 | 0.3% |
| 1.133421974 | 1 | 0.3% |
| 1.006216854 | 1 | 0.3% |
| Other values (375) | 375 |
| Value | Count | Frequency (%) |
| -30.19174175 | 1 | |
| -20.47539756 | 1 | |
| -2.459880539 | 1 | |
| -2.342729903 | 1 | |
| -2.06061672 | 1 |
| Value | Count | Frequency (%) |
| 56.79845366 | 1 | |
| 8.101897641 | 1 | |
| 5.230769654 | 1 | |
| 5.182395622 | 1 | |
| 2.992685307 | 1 |
| Distinct | 385 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9980947561 |
|---|---|
| Minimum | -23.11943278 |
| Maximum | 10.69510419 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -23.11943278 |
|---|---|
| 5-th percentile | -0.7818845584 |
| Q1 | 0.6099323392 |
| median | 0.9415147938 |
| Q3 | 1.302839601 |
| 95-th percentile | 3.569944536 |
| Maximum | 10.69510419 |
| Range | 33.81453697 |
| Interquartile range (IQR) | 0.6929072617 |
Descriptive statistics
| Standard deviation | 2.16285313 |
|---|---|
| Coefficient of variation (CV) | 2.166981759 |
| Kurtosis | 46.95270609 |
| Mean | 0.9980947561 |
| Median Absolute Deviation (MAD) | 0.3458909596 |
| Skewness | -3.557846664 |
| Sum | 384.2664811 |
| Variance | 4.677933662 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.479861695 | 1 | 0.3% |
| 1.536228954 | 1 | 0.3% |
| 2.463942429 | 1 | 0.3% |
| 0.8125236221 | 1 | 0.3% |
| 0.4155051497 | 1 | 0.3% |
| 1.008602869 | 1 | 0.3% |
| 0.1829509812 | 1 | 0.3% |
| 0.7116336268 | 1 | 0.3% |
| 1.01443615 | 1 | 0.3% |
| 1.54438182 | 1 | 0.3% |
| Other values (375) | 375 |
| Value | Count | Frequency (%) |
| -23.11943278 | 1 | |
| -12.00771282 | 1 | |
| -8.264534437 | 1 | |
| -6.380313033 | 1 | |
| -4.349791286 | 1 |
| Value | Count | Frequency (%) |
| 10.69510419 | 1 | |
| 10.61085027 | 1 | |
| 9.169867567 | 1 | |
| 8.801770273 | 1 | |
| 8.611167189 | 1 |
| Distinct | 385 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.04887046669 |
|---|---|
| Minimum | -112.3494949 |
| Maximum | 61.27477134 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -112.3494949 |
|---|---|
| 5-th percentile | -1.774690507 |
| Q1 | -0.2079364937 |
| median | -0.008871051205 |
| Q3 | 0.1296813862 |
| 95-th percentile | 1.354202507 |
| Maximum | 61.27477134 |
| Range | 173.6242663 |
| Interquartile range (IQR) | 0.3376178799 |
Descriptive statistics
| Standard deviation | 7.135246463 |
|---|---|
| Coefficient of variation (CV) | -146.0032397 |
| Kurtosis | 177.650018 |
| Mean | -0.04887046669 |
| Median Absolute Deviation (MAD) | 0.1629008196 |
| Skewness | -7.917883647 |
| Sum | -18.81512967 |
| Variance | 50.91174208 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.2908849232 | 1 | 0.3% |
| -0.4381404175 | 1 | 0.3% |
| 0.004368859342 | 1 | 0.3% |
| 0.07559253682 | 1 | 0.3% |
| -0.07135723571 | 1 | 0.3% |
| 1.688460321 | 1 | 0.3% |
| -4.56296974 | 1 | 0.3% |
| -0.6880070684 | 1 | 0.3% |
| 0.7857864832 | 1 | 0.3% |
| 0.04158461447 | 1 | 0.3% |
| Other values (375) | 375 |
| Value | Count | Frequency (%) |
| -112.3494949 | 1 | |
| -14.81200682 | 1 | |
| -7.879938498 | 1 | |
| -7.182032225 | 1 | |
| -6.287558864 | 1 |
| Value | Count | Frequency (%) |
| 61.27477134 | 1 | |
| 43.84416158 | 1 | |
| 13.15258669 | 1 | |
| 12.24194885 | 1 | |
| 12.20283019 | 1 |
LRm_3_pct_delta
Real number (ℝ)
| Distinct | 378 |
|---|---|
| Distinct (%) | 98.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.6073273619 |
|---|---|
| Minimum | -44.99899866 |
| Maximum | 99.00247961 |
| Zeros | 1 |
| Zeros (%) | 0.3% |
| Memory size | 3.1 KiB |
Quantile statistics
| Minimum | -44.99899866 |
|---|---|
| 5-th percentile | -7.209487371 |
| Q1 | -1.901960454 |
| median | -1.113208192 |
| Q3 | 0.02777844005 |
| 95-th percentile | 4.938569777 |
| Maximum | 99.00247961 |
| Range | 144.0014783 |
| Interquartile range (IQR) | 1.929738894 |
Descriptive statistics
| Standard deviation | 7.823576541 |
|---|---|
| Coefficient of variation (CV) | -12.88197607 |
| Kurtosis | 75.50716902 |
| Mean | -0.6073273619 |
| Median Absolute Deviation (MAD) | 0.9544789706 |
| Skewness | 5.625181019 |
| Sum | -233.8210343 |
| Variance | 61.2083499 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| -1 | 3 | 0.8% |
| -7.333290948 | 2 | 0.5% |
| -2 | 2 | 0.5% |
| -2.666666667 | 2 | 0.5% |
| -1.714286687 | 2 | 0.5% |
| -0.4999880791 | 2 | 0.5% |
| -0.8205123189 | 1 | 0.3% |
| -0.7142858533 | 1 | 0.3% |
| -1.242856977 | 1 | 0.3% |
| 3.714311989 | 1 | 0.3% |
| Other values (368) | 368 |
| Value | Count | Frequency (%) |
| -44.99899866 | 1 | |
| -28.50002384 | 1 | |
| -27.0006199 | 1 | |
| -24.99947549 | 1 | |
| -16.99965033 | 1 |
| Value | Count | Frequency (%) |
| 99.00247961 | 1 | |
| 45.00114444 | 1 | |
| 35.99914171 | 1 | |
| 24.33356646 | 1 | |
| 21.33353467 | 1 |
PL
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.1 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1155 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
| Value | Count | Frequency (%) |
| 1.0 | 199 | |
| 0.0 | 186 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1.0 | 199 | |
| 0.0 | 186 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 571 | |
| . | 385 | |
| 1 | 199 | 17.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 770 | |
| Other Punctuation | 385 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 571 | |
| 1 | 199 | 25.8% |
| Value | Count | Frequency (%) |
| . | 385 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1155 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 571 | |
| . | 385 | |
| 1 | 199 | 17.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1155 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 571 | |
| . | 385 | |
| 1 | 199 | 17.2% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| close | RSI_14 | INC_2 | ROC_2 | PSL_3 | CDL_DOJI_3_0.1 | TRUERANGE_1 | Z_30 | ratio_M50M180 | ratio_M5M20 | ratio_M20M50 | ratio_MACDh_12_26_9 | obv_pct_delta | LRm_3_pct_delta | PL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 11.96 | 50.257382 | 1 | 0.673400 | 66.666667 | 0.0 | 0.380000 | -0.042323 | 0.995096 | 2.572580 | 1.524414 | 1.271271 | -0.057871 | -1.347826 | 1.0 |
| 1 | 4.27 | 45.389951 | 1 | 0.945626 | 33.333333 | 0.0 | 0.210000 | -0.372319 | 0.980997 | 0.197369 | 0.957102 | 0.980236 | -0.202881 | -2.333323 | 1.0 |
| 2 | 5.07 | 66.292947 | 1 | 22.760291 | 33.333333 | 0.0 | 0.330000 | 3.152180 | 0.964338 | 8.487181 | 0.553727 | 3.607795 | 1.062556 | -7.714293 | 0.0 |
| 3 | 11.74 | 45.975848 | 1 | 4.915105 | 100.000000 | 0.0 | 0.450001 | -0.738094 | 1.018249 | 0.899890 | 1.155323 | 0.437141 | -0.186667 | -3.499998 | 1.0 |
| 4 | 3.98 | 17.175153 | 0 | -9.545456 | 33.333333 | 0.0 | 0.550000 | -2.044175 | 1.251061 | 1.305623 | 1.163707 | 1.000733 | 0.603056 | -0.827160 | 0.0 |
| 5 | 4.15 | 47.767389 | 1 | 4.010027 | 66.666667 | 0.0 | 0.360000 | -0.133020 | 0.979771 | 2.333334 | 0.879791 | 1.827681 | -0.029143 | -2.142857 | 1.0 |
| 6 | 5.51 | 43.102144 | 0 | -7.394951 | 33.333333 | 0.0 | 0.270000 | -0.844594 | 1.000717 | 0.372159 | 0.630697 | -0.297605 | -0.429615 | 3.399979 | 0.0 |
| 7 | 3.68 | 35.178242 | 1 | 0.821917 | 66.666667 | 0.0 | 0.550000 | -0.584425 | 1.061059 | 0.433036 | 0.926893 | 1.142079 | -0.037863 | -0.943396 | 1.0 |
| 8 | 6.06 | 64.567963 | 1 | 2.364863 | 33.333333 | 0.0 | 0.520000 | 1.232393 | 0.939279 | 0.680259 | 1.191753 | 0.337547 | -0.029856 | -1.274510 | 1.0 |
| 9 | 13.21 | 50.382311 | 0 | -0.226584 | 33.333333 | 0.0 | 0.250000 | -0.055739 | 0.826529 | 1.020151 | 0.947625 | 0.931000 | 0.060918 | -1.599992 | 0.0 |
Last rows
| close | RSI_14 | INC_2 | ROC_2 | PSL_3 | CDL_DOJI_3_0.1 | TRUERANGE_1 | Z_30 | ratio_M50M180 | ratio_M5M20 | ratio_M20M50 | ratio_MACDh_12_26_9 | obv_pct_delta | LRm_3_pct_delta | PL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 375 | 5.51 | 45.224362 | 0 | -0.361663 | 33.333333 | 0.0 | 0.34 | -0.806620 | 0.971616 | 0.377049 | 1.073859 | 0.823952 | -0.117321 | -0.894737 | 0.0 |
| 376 | 3.83 | 24.745954 | 1 | 5.801106 | 33.333333 | 0.0 | 0.52 | -1.386021 | 1.170110 | 0.829689 | 1.084405 | 0.551939 | -0.003721 | -1.230769 | 1.0 |
| 377 | 3.88 | 30.178354 | 1 | 7.479231 | 66.666667 | 0.0 | 0.48 | -0.970260 | 1.109845 | 0.751488 | 1.017316 | 10.695104 | -0.011518 | 4.400010 | 1.0 |
| 378 | 6.08 | 61.571795 | 1 | 7.801420 | 66.666667 | 0.0 | 0.59 | 1.385747 | 0.998086 | 0.729642 | 1.285052 | 0.818835 | 0.595911 | -2.374999 | 1.0 |
| 379 | 5.50 | 69.329878 | 1 | 8.695653 | 100.000000 | 0.0 | 0.33 | 2.411230 | 0.920875 | 1.032453 | 8.101898 | 1.218467 | 1.531729 | -44.998999 | 1.0 |
| 380 | 7.47 | 49.302958 | 0 | -8.343557 | 0.000000 | 0.0 | 0.64 | 0.135163 | 1.076917 | 0.490735 | 0.987237 | -3.682537 | -0.207031 | 0.446807 | 0.0 |
| 381 | 12.61 | 59.417718 | 1 | 0.158852 | 66.666667 | 0.0 | 0.15 | 1.508121 | 0.958307 | 1.890109 | 1.285572 | 1.245400 | -0.108542 | -0.963637 | 1.0 |
| 382 | 11.92 | 41.732006 | 1 | 1.274423 | 66.666667 | 0.0 | 0.34 | -1.065551 | 0.515346 | 0.732564 | 1.945535 | 0.335526 | -0.165111 | -0.625001 | 0.0 |
| 383 | 5.95 | 58.621933 | 0 | -2.138160 | 66.666667 | 0.0 | 0.25 | 1.115177 | 0.973991 | 0.702381 | 1.077478 | 0.576028 | 0.047489 | -1.295455 | 1.0 |
| 384 | 5.68 | 48.944986 | 0 | -1.730110 | 66.666667 | 0.0 | 0.36 | -0.012426 | 0.971614 | 2.460318 | 0.890901 | 1.684341 | 0.026729 | -1.344828 | 0.0 |